Systems Engineer - Machine Learning

Job description

Job responsibilities

• Machine Learning: Research, develop, and deploy complex machine learning models such as generative ai, reinforcement learning, deep neural networks, physics based neural models.
• Algorithm Design and Development: Formulate and solve complex physics problems using mathematical techniques. Ex: Object detection, tracking, and discrimination.
• Sensor Fusion & Tracking: Work on the components of system architecture that ingest raw/processed sensor data, execute track fusion, and perform threat classification.
• Parametric & Sensitivity Analysis: Design, conduct, and defend rigorous trade studies, sensitivity analyses, and parametric evaluations to determine system boundaries and validate performance.
• Prototyping & Modeling: Rapidly translate mathematical equations into clean, functional code (Python / C++) to run non-customer-facing modeling, simulation, and algorithm verification.
• Mission Systems Architecture: Bridge the gap between low-level physics/threat intelligence inputs and high-level mission outputs.

Job requirements

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Experience: 5+ years of relevant engineering experience
• Bachelor’s, Master’s, or Ph.D. in Aerospace Engineering, Applied Mathematics, Physics, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Core Foundation: Strong mastery of applied mathematics, physics, and programming .
• Algorithmic Programming: Proficiency in Python and/or C++, Pytorch (or TensorFlow), Coding GPU's, multi-agent reinforcement learning, mathematical modeling, experience implementing foundation models, and algorithm…
• Domain Knowledge: Exposure to missile defense concepts, radar/sensor processing, flight dynamics, TOM, threat intelligence, discrimination algorithms, sensor tracking algorithms, kill assessment, integrated algorithms…
• Security Clearance: Active U.S. Secret clearance required
• Top Secret / SCI eligible preferred.